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Replace SequentialLayer with Sequential Model

Merged Amir MOHAMMADI requested to merge inception-resenet-change into master
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  • a61605d2
    The Sequentiallayer was introducing more problems
    than the ones it solved. Unfortunately, the old checkpoints
    will not be compatible but they can be easily converted using:
    ```python
    old_model = tf.keras.models.load_model()
    new_model = bob.learn.tensorflow.models.incepetion_resenet_v2.IncepetionResnetV2()
    new_model.set_weights(old_model.get_weights)
    new_model.save(".../new_checkpoint")
    ```
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